Senior Technical Program Manager, Deep Learning Software · NVIDIA

Mon, 27 Apr 2026 12:10:13 GMT
Engineering

NVIDIA · Shanghai · onsite

The Deep Learning Software Team at NVIDIA is seeking a Senior Technical Program Manager to lead software initiatives and develop Gen AI models enabling NVIDIA's most advanced AI researchers and engineers to create the future of computing.

This leader will guide engineering programs using the best industry processes well suited to our fast pace and rapidly expanding roadmap.

Responsibilities:

Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives

Guide engineering programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues

Guide engineering teams in the use of agile methodologies

Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data-driven decisions

Report on overall program status, providing insights and recommendations to senior management

Drive organisational alignment and efficiency by coordinating with multi-functional leads and streamlining processes

Work with multi-functional matrixed teams

Guide teams designing for advanced, complex, competing and often conflicting customer requirements

Moderate technical discussions to successful conclusions

Act as liaison between developers and customers, between technical and non-technical audiences

Cultivate a culture of continuous improvement, finding opportunities for process enhancements

Requirements:

Bachelor's degree (or equivalent experience) in a related field with demonstrated program management expertise and mastery of technical and management practices

10+ years program management experience including proven ability managing global projects, adaptable to multiple time zones

Demonstrated skill in engaging and moderating successful engagements with engineering partners and vendors

Exceptional communication and presentation skills for diverse technical and non-technical audiences with strong problem-solving and conflict management skills

In-depth understanding of software engineering principles and quality requirements in enterprise systems

Strong multitasking abilities with a focus on thoroughness and rapid context switching

Knowledge of agile methodologies and tools, project planning, and task tracking tools

Experience in AI training environments and resource capacity planning

Proactive in identifying and implementing efficient changes in software engineering and release management

Excellent organisational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git)

Nice to Have:

Background in computer science, machine learning, deep learning, open source software, and GPU technology

Prior experience in production application software development, release and support methodology and DevOps

Prior experience in the management of customer workflows using large scale distributed computing and working with AI researchers or directly training and evaluating AI models

Consistent track record of driving process improvements and measuring efficiency

A passion for sharing knowledge and experience driving complex projects end-to-end